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A Mixed-Method Analysis of Text and Audio Search Interfaces with Varying Task Complexity

Alexandra Vtyurina, Charles L. A. Clarke, Edith Law, Johanne R. Trippas, Horaţiu Bota

202028 citationsDOIOpen Access PDF

Abstract

Voice-based assistants have become a popular tool for conducting web search, particularly for factoid question answering. However, for more complex web searches, their functionality remains limited, as does our understanding of the ways in which users can best interact with audio-based search results. In this paper, we compare and contrast user behaviour through the representation of search results over two mediums: text and audio. We begin by conducting a crowdsourced study exposing the differences in user selection of search results when those are presented in text and audio formats. We further confirm these differences and investigate the reasons behind them through a mixed-methods laboratory study. Through a qualitative analysis of the collected data, we produce a list of guidelines for an audio-based presentation of search results.

Topics & Concepts

Computer scienceTask (project management)Information retrievalSelection (genetic algorithm)Representation (politics)Audio analyzerPresentation (obstetrics)World Wide WebArtificial intelligenceAudio signal processingSpeech recognitionAudio signalManagementPolitical scienceEconomicsLawRadiologySpeech codingMedicinePoliticsSpeech and dialogue systemsMobile Crowdsensing and CrowdsourcingAI in Service Interactions
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